Examples of using Big data platform in English and their translations into Indonesian
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MediChain is a medical big data platform.
As Big Data platforms increase and Hadoop adoption widens this is an important feature.
Affordable open source, distributed big data platforms, such as Hadoop.
In 2016, CPIC and Huawei launched a finance andinsurance solution that was built on an IT infrastructure and Big Data platform.
Experience with a big data platform such as Hadoop and Spark.
Cloudera is the fastest, easiest and highly secure modern big data platform.
The solution is integrated into the big data platform and is provided in a SaaS model.
Big data platforms help companies join, analyze, and make meaningful decisions based on all the data available to them.
The solution is integrated to our cutting edge Big Data platform, and is provided in a SaaS model.
In the financing sector, the company officially signed thecooperation agreement with the Agricultural Bank of China on big data platform.
The solution is integrated to the company's cutting edge big data platform, and is provided in a SaaS model.
Tealium, a big data platform for structuring disparate customer information, raises $55M at $600M+ valuation- TechCrunch.
The bank wants the engineers to develop a secure big data platform and a chip processor that would allow crypto transactions.
Many organizations are integrating their security information and event management(SIEM)software with big data platforms like Hadoop.
The bank wants engineers to develop a secure big data platform and processor that would enable transactions based on a network of blocks.
Because the exponentially growing amount of data available presents some significant challenges, we adopt Hadoop,the cutting edge Big Data platform.
Businesses using I/O-heavy applications, such as databases and big data platforms, find significant value in bare metal dedicated hardware.
It built a big data platform that is powered by Cloudera Enterprise to analyse the massive amount of customer data it gained over the years.
Businesses using I/O-heavy applications, such as databases and big data platforms, find significant value in bare metal dedicated hardware.
There are a number of cases where machine learning is being used to boost an organization's ability to satisfy analytics needs,especially for analytics applied to Big Data platforms.
Businesses that use the application i/o heavy like Big Data platform and database will also find significant value using a dedicated server.
Apache Eagle is an Open Source monitoring and alerting solution for instantly identifying security andperformance issues on Big Data platforms such as Apache Hadoop, Apache Spark, and more.
By powering its big data platform with Cloudera, the financial institution has expanded its customer base and enhanced its fraud detection capability through machine learning.
Last fall, the PBoC opened four positions for crypto-related professionals at its Digital Currency Institute,seeking engineers that would develop a secure big data platform and chip processor for crypto transactions.
Built on a big data platform, the Capillary CRM solution finally enabled brands to use their existing infrastructure to identify and understand each consumer, and directly communicate with them through mobile technology.
In order to speed up research into the disease and other coronavirus strains,Chinese authorities have established a global coronavirus resource big data platform, complete with“electron micrographs, novel coronavirus nucleic acid detection primers and probe sequences.”.
In selecting a Big Data platform and particular Hadoop distribution, be sure the platform is highly adept at handling the mix of data types in healthcare typically housed in silos, with clinical data in one silo; pharmaceutical data in another; and logistics information on hospital supplies in yet another.
The AI platform is operated by 3 foundational algorithm platforms to support more than 150 AI skills andover 80 retail scenarios, while the big data platform could collect, process and distribute more than 600 million users' information generated from over 2,000 retail service scenarios, along with 15 billion data calculations per day.